News browsing system
Bruno do Nascimento Teixeira, Júlia Epischina Engrácia de Oliveira, Fillipe D. M. de Souza, Tiago Oliveira Cunha, Arnaldo de Albuquerque Araújo, Christiane Okamoto, Lucas Figueiredo, Vinícius de Oliveira Silva, Igor Calil Loures de Oliveira · 2011
This paper reports a system developed for video browsing based on multimodal analysis. Our multimodal approach performs audio transcription for shot categorization (sports, weather, politics and economy) combining audio and visual information for theme categorization. Its main features include static and dynamic summaries, segmentation using face detection, classification into Indoor/Outdoor scenes based on Support Vector Machine (SVM) and audio transcription for theme keyword search. Keywords are selected to represent the subjects, followed by a simple text search. We conduct a set of experiments for evaluating the effectiveness of the shot subject categorization using audio transcription information.